| From: | Bruce Momjian <bruce(at)momjian(dot)us> |
|---|---|
| To: | Tom Lane <tgl(at)sss(dot)pgh(dot)pa(dot)us> |
| Cc: | "Bayer, Samuel" <sam(at)mitre(dot)org>, Atri Sharma <atri(dot)jiit(at)gmail(dot)com>, pgsql-general(at)lists(dot)postgresql(dot)org |
| Subject: | Re: [EXT] Re: Looking for tips on improving full-text search quality in Postgres |
| Date: | 2022-03-04 16:45:42 |
| Message-ID: | YiJCNtCZGIL1dzUH@momjian.us |
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| Lists: | pgsql-general |
On Fri, Mar 4, 2022 at 11:43:57AM -0500, Tom Lane wrote:
> "Bayer, Samuel" <sam(at)mitre(dot)org> writes:
> > One concrete question, I suppose, is: the classic TF/IDF search strategy relies on inverse document frequency, which looks across the corpus. I can't tell whether that corpus-wide frequency information is taken into account in either ranking function.
>
> The documentation is pretty clear that they don't, they just consider each
> document in isolation. Building a structure that would allow more-global
> info to be taken into account is an interesting project that nobody's
> tackled.
Oh, you mean like, "pizza" is used only in this document vs it being
used in every document. Should we add some documentation about this or
is it already clear?
--
Bruce Momjian <bruce(at)momjian(dot)us> https://momjian.us
EDB https://enterprisedb.com
If only the physical world exists, free will is an illusion.
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